Master thesis - Working Student Projects & Processes (m/f/d)

We are a leading international manufacturer of B-to-B digital printing systems and software developer for document management. 
The portfolio includes systems for continuous and cut-sheet printing as well as for large format graphics: e.g. for book and commercial printing. At the Poing site, around 1,000 people are employed in production, research & development, IT and administration. Many of them appreciate the family atmosphere as well as the opportunities for professional development locally and worldwide.

Your Challenges:

• Building an automatic, time dependent detection and classification of root causes and influence factors for identified Print Head Out Nozzle and Side-Shooter patterns and image data, using machine learning methods
• Machine logging data analysis of our worldwide installed printing systems
• Process analysis by pattern search for operating sequences and error processing
• Consultation of experts for the definition of specific, domain related requirements 
• Duration maximum 6 months
• English fluent, German level A2 to B1
• Job location Poing near Munich

You bring along:

• You are studying Data Science / Data Engineering / Computer Science or a similar course of study
• Applied Experience with machine learning, time series analysis of sensor data, images or process mining 
• Deep knowledge of SQL and Python
• Knowledge of JavaScript beneficial 
• You are an open minded, independent, team oriented and inquisitive person
• Agile development methodology

We offer: 

• An interesting and varied task in an international environment
• The possibility to get familiar with the topics as a working student before the master thesis
• A working environment, where you can bring in your experience and personality
• An attractive remuneration model and a flexible working time model
• A motivated team, which is looking forward to your support

Are you interested?

Then please send us your application via the 'apply now' button.
Please include the following information in your application:

• What is your preferred starting date?
• How long do you expect your studies to last?

Disabled people and people with disabilities will be given preferential consideration if they are suitably qualified.
For further information on this vacancy, please contact Korbinian Huber. E-Mail: korbinian.huber@cpp.canon

About Canon Production Printing
Canon Production Printing develops and manufactures high-tech printing products and workflow software for the commercial printing market and is part of Canon, a global provider of imaging technologies and services. Canon Production Printing operates on three continents, with approximately 3300 employees (end 2022) and has its global headquarters in Venlo, the Netherlands.

Further information about Canon Production Printing is available at cpp.canon.